| TM对NOAA面积校正模型的研究 |
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| 引用本文： | 袁超,赵宪文.TM对NOAA面积校正模型的研究[J].遥感学报,2000,4(4):266-270. |
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| 作者姓名： | 袁超 赵宪文 |
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| 作者单位： | 中国林业科学研究院,北京,100091 |
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| 摘 要： | 为了实现NOAA卫星遥感影像在提供丰富的宏观信息的同时 ,能够具有较高的面积估计精度这一目标 ,以吉林省为例 ,根据 1998年的NOAA卫星遥感影像数据以及最新的TM卫星遥感影像数据 ,构建了高分辨率卫星影像数据对低分辨率卫星影像数据的面积精度校正模型 ,并引入分形理论对影像空间结构特征进行深入研究
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| 关 键 词： | 空间结构特征 分形 初级单元 次级单元 |
| 收稿时间： | 1999/10/15 0:00:00 |
| 修稿时间： | 3/9/2000 12:00:00 AM |
Calibration of NO Satellite Data with Landsat TM Data |
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| YUAN Chao and ZHAO Xian-wen.Calibration of NO Satellite Data with Landsat TM Data[J].Journal of Remote Sensing,2000,4(4):266-270. |
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| Authors: | YUAN Chao and ZHAO Xian-wen |
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| Institution: | Chinese Academy of Forestry, Beijing 100091, China;Chinese Academy of Forestry, Beijing 100091, China |
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| Abstract: | In order that NO images can provide abundant macrosc opic information and at the same time ensure detailed information of certain pre cision, this article puts forward a set of methods. Its experimental area is Jil in province in northeast China. Based on NO image data of 1998 and latest TM i mage data, a calibration was done with high resolution satelliter data to impro ve the forest area estimation derived from low resolution satellite data. Meanwh ile fractal geometry theory is lead applied to analyze spatial structure chara cters of remote sensing images. Spatial distribution and shape of land blocks i n the image are quantified with the method of fractal dimension. It is helpful t o get more and useful information from remote sensing images. |
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| Keywords: | spatial structure characters fractal primary unit s econdary unit |
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